2020
DOI: 10.1039/c9an01911a
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Morpho-molecular ex vivo detection and grading of non-muscle-invasive bladder cancer using forward imaging probe based multimodal optical coherence tomography and Raman spectroscopy

Abstract: Characterization of bladder biopsies, using a combined fiber optic probe-based optical coherence tomography and Raman spectroscopy imaging system that allows a large field-of-view imaging and detection and grading of cancerous bladder lesions.

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Cited by 30 publications
(34 citation statements)
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“…Nevertheless, all retrieved accuracy levels are above 80% giving strong evidence for the relevance of OCT in this field. In particular, the 12 µm axial and 28 µm lateral resolution region which can be achieved with an endoscopic probe developed by the authors previously [31] achieves an accuracy well above 80%. This probe is working at 1300 nm central wavelength resulting in lower contrast but with higher penetration depth, being beneficial for the screening of invasive tumor fragments.…”
Section: Discussionmentioning
confidence: 90%
See 1 more Smart Citation
“…Nevertheless, all retrieved accuracy levels are above 80% giving strong evidence for the relevance of OCT in this field. In particular, the 12 µm axial and 28 µm lateral resolution region which can be achieved with an endoscopic probe developed by the authors previously [31] achieves an accuracy well above 80%. This probe is working at 1300 nm central wavelength resulting in lower contrast but with higher penetration depth, being beneficial for the screening of invasive tumor fragments.…”
Section: Discussionmentioning
confidence: 90%
“…Texture analysis is a simple but yet effective, automated method in identifying patterns on OCT images [28,29]. Therefore, texture analysis was successfully applied in previous studies [30,31] and consequently a similar approach was chosen in this study: For each B-scan, the gray-level co-occurrence matrix (GLCM) was computed to extract textural spatial information. The energy, contrast, homogeneity and correlation were calculated at 0, 45, 90, and 135 degrees and used as main features for the automatic tissue differentiation.…”
Section: Image and Texture Analysismentioning
confidence: 99%
“…The morpho-molecular imaging was performed on a combined, forward-viewing probe based automated system in a co-registered manner. Detailed description on the biopsy handling, the multimodal imaging setup, data acquisition procedure and data analysis has already been described by the authors 3 , and will be only brie y summarized. The OCT and RS data was acquired subsequently after choosing a region of interest (ROI) with an acquisition time of 1 minute for 9 OCT stacks and 13 minutes for 900 Raman-point measurements in the same region on a ~4 mm² sample.…”
Section: Methodsmentioning
confidence: 99%
“…Multimodal approaches are based on two (or more) complementary modalities, covering largely independent biomarker information, and providing a more complete diagnostic evaluation. Especially the combination of modalities that provide morphological and molecular information, such as optical coherence tomography (OCT) and Raman spectroscopy (RS) has been proven to be potentially very powerful [3][4][5] . OCT, as a non-invasive interferometric-based imaging modality, provides morphologically depth resolved tissue information 6 with numerous applications in ophthalmology.…”
Section: Introductionmentioning
confidence: 99%
“…Multimodal approaches are based on two (or more) complementary modalities, covering largely independent biomarker information, and providing a more complete diagnostic evaluation. Especially the combination of modalities that provide morphological and molecular information, such as optical coherence tomography (OCT) and Raman spectroscopy (RS) has been proven to be potentially very powerful 3 – 5 . OCT, as a non-invasive interferometric-based imaging modality, provides morphologically depth resolved tissue information 6 with numerous applications in ophthalmology.…”
Section: Introductionmentioning
confidence: 99%